mirror of
https://github.com/titanscouting/tra-superscript.git
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feat: gui layout + basic func
This commit is contained in:
parent
b214e2f797
commit
29d4002dc0
123
config.json
123
config.json
@ -1,46 +1,101 @@
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{
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"max-threads": 0.5,
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"team": "",
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"competition": "",
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"key":{
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"database":"",
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"tba":""
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"competition": "2020ilch",
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"key": {
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"database": "mongodb+srv://analysis:MU2gPeEjEurRt2n@2022-scouting-4vfuu.mongodb.net/<dbname>?retryWrites=true&w=majority",
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"tba": "UDvKmPjPRfwwUdDX1JxbmkyecYBJhCtXeyVk9vmO2i7K0Zn4wqQPMfzuEINXJ7e5"
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},
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"statistics":{
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"match":{
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"balls-blocked":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-collected":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-lower-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-lower-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-started":["basic_stats","historical_analyss","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-upper-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-upper-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"]
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"statistics": {
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"match": {
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"balls-blocked": [
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"basic_stats",
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"historical_analysis",
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"regression_linear",
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"regression_logarithmic",
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"regression_exponential",
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"regression_polynomial",
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"regression_sigmoidal"
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],
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"balls-collected": [
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"basic_stats",
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"historical_analysis",
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"regression_linear",
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"regression_logarithmic",
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"regression_exponential",
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"regression_polynomial",
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"regression_sigmoidal"
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],
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"balls-lower-teleop": [
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"basic_stats",
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"historical_analysis",
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"regression_linear",
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"regression_logarithmic",
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"regression_exponential",
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"regression_polynomial",
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"regression_sigmoidal"
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],
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"balls-lower-auto": [
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"basic_stats",
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"historical_analysis",
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"regression_linear",
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"regression_logarithmic",
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"regression_exponential",
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"regression_polynomial",
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"regression_sigmoidal"
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],
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"balls-started": [
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"basic_stats",
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"historical_analyss",
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"regression_linear",
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"regression_logarithmic",
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"regression_exponential",
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"regression_polynomial",
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"regression_sigmoidal"
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],
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"balls-upper-teleop": [
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"basic_stats",
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"historical_analysis",
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"regression_linear",
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"regression_logarithmic",
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"regression_exponential",
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"regression_polynomial",
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"regression_sigmoidal"
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],
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"balls-upper-auto": [
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"basic_stats",
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"historical_analysis",
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"regression_linear",
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"regression_logarithmic",
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"regression_exponential",
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"regression_polynomial",
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"regression_sigmoidal"
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]
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},
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"metric":{
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"elo":{
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"score":1500,
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"N":400,
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"K":24
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"metric": {
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"elo": {
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"score": 1500,
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"N": 400,
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"K": 24
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},
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"gl2":{
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"score":1500,
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"rd":250,
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"vol":0.06
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"gl2": {
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"score": 1500,
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"rd": 250,
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"vol": 0.06
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},
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"ts":{
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"mu":25,
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"sigma":8.33
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"ts": {
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"mu": 25,
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"sigma": 8.33
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}
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},
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"pit":{
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"wheel-mechanism":true,
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"low-balls":true,
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"high-balls":true,
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"wheel-success":true,
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"strategic-focus":true,
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"climb-mechanism":true,
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"attitude":true
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"pit": {
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"wheel-mechanism": true,
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"low-balls": true,
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"high-balls": true,
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"wheel-success": true,
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"strategic-focus": true,
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"climb-mechanism": true,
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"attitude": true
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}
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}
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}
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22
design.kv
22
design.kv
@ -1,4 +1,4 @@
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BoxLayout:
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<Launch>:
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orientation: "vertical"
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NavigationLayout:
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@ -51,6 +51,7 @@ BoxLayout:
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MDTextField:
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hint_text: "placeholder"
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pos_hint: {"center_y": .5}
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BoxLayout:
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orientation: "horizontal"
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MDLabel:
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@ -84,9 +85,15 @@ BoxLayout:
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MDProgressBar:
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id: progress
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value: 50
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StatsScreen:
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name: "Stats"
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MDCheckbox:
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size_hint: None, None
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size: "48dp", "48dp"
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pos_hint: {'center_x': .5, 'center_y': .5}
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on_active: Screen.test()
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#Navigation Drawer -------------------------
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MDNavigationDrawer:
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id: nav_drawer
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BoxLayout:
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@ -131,5 +138,14 @@ BoxLayout:
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# screen_manager.transition.direction = "right"
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# screen_manager.fade
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screen_manager.current = "Info"
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IconLeftWidget:
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icon: "cog"
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OneLineAvatarListItem:
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text: "Stats"
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on_press:
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# nav_drawer.set_state("close")
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# screen_manager.transition.direction = "right"
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# screen_manager.fade
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screen_manager.current = "Stats"
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IconLeftWidget:
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icon: "cog"
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38
main.py
38
main.py
@ -1,9 +1,40 @@
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from kivy.lang import Builder
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from kivymd.uix.screen import Screen
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from kivymd.uix.list import OneLineListItem, MDList, TwoLineListItem, ThreeLineListItem
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from kivymd.uix.list import OneLineIconListItem, IconLeftWidget
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from kivy.uix.scrollview import ScrollView
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from kivy.uix.boxlayout import BoxLayout
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from kivy.uix.screenmanager import ScreenManager, Screen
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from kivy.uix.dropdown import DropDown
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from kivy.uix.button import Button
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from kivy.base import runTouchApp
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from kivymd.uix.menu import MDDropdownMenu, MDMenuItem
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from kivymd.app import MDApp
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# import superscript as ss
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# from tra_analysis import analysis as an
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import data as d
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from collections import defaultdict
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import json
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import math
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import numpy as np
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import os
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from os import system, name
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from pathlib import Path
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from multiprocessing import Pool
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import matplotlib.pyplot as plt
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from concurrent.futures import ThreadPoolExecutor
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import time
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import warnings
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# global exec_threads
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# Screens
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class HomeScreen(Screen):
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pass
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class SettingsScreen(Screen):
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@ -11,11 +42,16 @@ class SettingsScreen(Screen):
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class InfoScreen(Screen):
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pass
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class StatsScreen(Screen):
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pass
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class MyApp(MDApp):
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def build(self):
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self.theme_cls.primary_palette = "Red"
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return Builder.load_file("design.kv")
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def test():
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print("test")
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if __name__ == "__main__":
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108
superscript.py
108
superscript.py
@ -135,75 +135,75 @@ from concurrent.futures import ThreadPoolExecutor
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import time
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import warnings
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global exec_threads
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# global exec_threads
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def main():
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global exec_threads
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# global exec_threads
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warnings.filterwarnings("ignore")
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while (True):
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# while (True):
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current_time = time.time()
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print("[OK] time: " + str(current_time))
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current_time = time.time()
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print("[OK] time: " + str(current_time))
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config = load_config("data-analysis/config.json")
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competition = config["competition"]
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match_tests = config["statistics"]["match"]
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pit_tests = config["statistics"]["pit"]
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metrics_tests = config["statistics"]["metric"]
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print("[OK] configs loaded")
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config = load_config("red-alliance-analysis\data-analysis\config.json")
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competition = config["competition"]
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match_tests = config["statistics"]["match"]
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pit_tests = config["statistics"]["pit"]
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metrics_tests = config["statistics"]["metric"]
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print("[OK] configs loaded")
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print("[OK] starting threads")
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cfg_max_threads = config["max-threads"]
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sys_max_threads = os.cpu_count()
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if cfg_max_threads > -sys_max_threads and cfg_max_threads < 0 :
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alloc_processes = sys_max_threads + cfg_max_threads
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elif cfg_max_threads > 0 and cfg_max_threads < 1:
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alloc_processes = math.floor(cfg_max_threads * sys_max_threads)
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elif cfg_max_threads > 1 and cfg_max_threads <= sys_max_threads:
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alloc_processes = cfg_max_threads
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elif cfg_max_threads == 0:
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alloc_processes = sys_max_threads
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else:
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print("[Err] Invalid number of processes, must be between -" + str(sys_max_threads) + " and " + str(sys_max_threads))
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exit()
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exec_threads = Pool(processes = alloc_processes)
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print("[OK] " + str(alloc_processes) + " threads started")
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print("[OK] starting threads")
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cfg_max_threads = config["max-threads"]
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sys_max_threads = os.cpu_count()
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if cfg_max_threads > -sys_max_threads and cfg_max_threads < 0 :
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alloc_processes = sys_max_threads + cfg_max_threads
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elif cfg_max_threads > 0 and cfg_max_threads < 1:
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alloc_processes = math.floor(cfg_max_threads * sys_max_threads)
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elif cfg_max_threads > 1 and cfg_max_threads <= sys_max_threads:
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alloc_processes = cfg_max_threads
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elif cfg_max_threads == 0:
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alloc_processes = sys_max_threads
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else:
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print("[Err] Invalid number of processes, must be between -" + str(sys_max_threads) + " and " + str(sys_max_threads))
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exit()
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# exec_threads = Pool(processes = alloc_processes)
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# print("[OK] " + str(alloc_processes) + " threads started")
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apikey = config["key"]["database"]
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tbakey = config["key"]["tba"]
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print("[OK] loaded keys")
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apikey = config["key"]["database"]
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tbakey = config["key"]["tba"]
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print("[OK] loaded keys")
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previous_time = get_previous_time(apikey)
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print("[OK] analysis backtimed to: " + str(previous_time))
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previous_time = get_previous_time(apikey)
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print("[OK] analysis backtimed to: " + str(previous_time))
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print("[OK] loading data")
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start = time.time()
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match_data = load_match(apikey, competition)
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pit_data = load_pit(apikey, competition)
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print("[OK] loaded data in " + str(time.time() - start) + " seconds")
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print("[OK] loading data")
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start = time.time()
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match_data = load_match(apikey, competition)
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pit_data = load_pit(apikey, competition)
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print("[OK] loaded data in " + str(time.time() - start) + " seconds")
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print("[OK] running match stats")
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start = time.time()
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matchloop(apikey, competition, match_data, match_tests)
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print("[OK] finished match stats in " + str(time.time() - start) + " seconds")
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print("[OK] running match stats")
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start = time.time()
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matchloop(apikey, competition, match_data, match_tests)
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print("[OK] finished match stats in " + str(time.time() - start) + " seconds")
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print("[OK] running team metrics")
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start = time.time()
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metricloop(tbakey, apikey, competition, previous_time, metrics_tests)
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print("[OK] finished team metrics in " + str(time.time() - start) + " seconds")
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print("[OK] running team metrics")
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start = time.time()
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metricloop(tbakey, apikey, competition, previous_time, metrics_tests)
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print("[OK] finished team metrics in " + str(time.time() - start) + " seconds")
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print("[OK] running pit analysis")
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start = time.time()
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pitloop(apikey, competition, pit_data, pit_tests)
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print("[OK] finished pit analysis in " + str(time.time() - start) + " seconds")
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set_current_time(apikey, current_time)
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print("[OK] finished all tests, looping")
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print("[OK] running pit analysis")
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start = time.time()
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pitloop(apikey, competition, pit_data, pit_tests)
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print("[OK] finished pit analysis in " + str(time.time() - start) + " seconds")
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set_current_time(apikey, current_time)
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print("[OK] finished all tests, looping")
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clear()
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# clear()
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def clear():
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@ -314,7 +314,7 @@ def matchloop(apikey, competition, data, tests): # expects 3D array with [Team][
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variable_data.append((data[team][variable], test))
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test_filtered.append(test)
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result_filtered = exec_threads.map(simplestats, variable_data)
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result_filtered = map(simplestats, variable_data)
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i = 0
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result_filtered = list(result_filtered)
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